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Related Concept Videos

X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...

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The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness
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Can Infrared Thermal Imaging Reflect Exercise Load? An Incremental Cycling Exercise Study.

Chenxi Hu1, Ning Du1, Zhongqian Liu1

  • 1Department of Chinese Academy of Sport and Health, Beijing Sport University, Beijing 100084, China.

Bioengineering (Basel, Switzerland)
|March 28, 2025
PubMed
Summary

Infrared thermography (IRT) with entropy analysis quantifies exercise load and physiological responses. Chest temperature entropy strongly correlates with external load and oxygen consumption, offering new insights into thermoregulation and metabolism.

Keywords:
entropy analysisexternal loadinfrared thermography (IRT)oxygen consumptionthermoregulationtraining load

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Area of Science:

  • Sports Science
  • Exercise Physiology
  • Biomedical Engineering

Background:

  • Training load monitoring is vital for performance optimization and injury prevention in sports.
  • Traditional methods have limitations; infrared thermography (IRT) offers non-contact, real-time physiological assessment.
  • IRT's potential in quantifying exercise-induced physiological changes remains underexplored.

Purpose of the Study:

  • To investigate the utility of infrared thermography (IRT) combined with entropy analysis for monitoring exercise training load.
  • To quantitatively assess surface radiation patterns and their relationship with physiological responses during incremental exercise.
  • To explore the coupling between thermoregulation and metabolic responses using thermal imaging data.

Main Methods:

  • 31 healthy males performed incremental exhaustive cycle ergometer exercise.
  • Infrared thermography captured surface temperature patterns of the forehead, chest, and abdomen.
  • Entropy analysis quantified thermal imaging data, correlated with external load and oxygen consumption.

Main Results:

  • Significant differences in surface radiation patterns were observed at exhaustion compared to baseline (p ≤ 0.01).
  • Strong correlations found between external load, oxygen consumption, and chest temperature entropy (r = 0.973, 0.980).
  • Individual analysis showed positive correlations between chest entropy increase and external load/oxygen consumption (r = 0.70-0.98).

Conclusions:

  • Entropy analysis provides a novel quantitative method for assessing IRT data during exercise.
  • IRT and entropy analysis reveal a coupling between thermoregulation and metabolic responses.
  • This approach offers a promising tool for objective training load assessment in sports science.